• Educational Technology International
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• v.13 no.1
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• pp.145-173
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• 2012

The purpose of this study is to develop collaboration scripts as an instructional means to facilitate argumentation in computer-supported collaborative learning, and to analyze their effects. To develop collaboration scripts for argumentation, researchers used activity theory as a conceptual framework and refined the design principles by design-based research. Using LAMS, collaboration scripts for argumentation were developed based on the ArgueGraph. To examine their effects, 72 participants were divided into two groups by internal scripts and randomly allocated to one of three external scripts. Applying mixed methods, researchers analyzed argumentation competence related to the cognitive aspect, examined self-efficacy related to the motivational aspect, and identified the factors influencing collaborative learning processes and outcomes. Researchers found that the internal script is a critical factor to determine the dimensions, degrees, and duration of improvement in argumentation competence. That is, learners with higher internal scripts improved highly in the quality of single arguments, while learners with lower internal scripts improved continuously in the quality of argumentation sequences. The effects of the external scripts varied with the internal script levels and supporting periods. Besides, collaboration scripts for argumentation had positive effects on learners' self-efficacy, and learners with higher internal scripts had better self-efficacy. The factors influencing collaborative learning processes and outcomes showed different results depending on the learning context. Therefore, when scripting learner's interaction in CSCL, researchers should design the scripts adaptable to a natural context of activities.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.453-456
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• 2007

노인 복지 환경에서 혼합주도 협력(mixed-initiative collaboration)이 가능한 로봇의 지능 개발이 본 연구의 궁극적인 목표이다. 본 논문에서는 다양한 담화(discourse)으로부터 협력 과정들을 분석하여 상호 주도 협력을 위한 이슈들을 찾아내고, 이러한 주요 요소를 바탕으로 상대 인지시스템의 사용자 모델(user model)을 포함할 수 있는 상호 스크립트 모형(joint script model)을 제안하고 이를 이용한 로봇 계획법(robot planning)의 방법론과 실험에 대한 접근법을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.9
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• pp.93-101
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• 2014

Movie stories can be retrieved efficiently by analyzing a script, which is a blueprint of the movie. Although the movie script is described in the formatted structure of Final Draft, it is hard to restore the type without analyzing the story of the sentences since the scripts open on the website are mostly broken. For this purpose, it is necessary to develop and provide the web-based script analysis software so that users collaboratively and freely check and correct the errors in the results after automatically parsing the script. Hence, in this paper we suggest the structure of the web-based collaborative script analysis platform that enables users to modify and filter the type error of the script for high level of film data accumulation and performance evaluation for the implementation results is conducted. Through the experiment, accuracy of automatically parsing appears to be 64.95% and performance of modification by collaboration showed 99.58% of accuracy of parsing with errors mostly corrected after passing through 5 steps of modification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.4984-4993
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• 2012

This study was initiated with the need of studies to promote learning and use of collaboration skills that learners should have in collaborative learning in CSCL. The researcher carried out research on 96 students taking the course of 'educational methods and educational technology' in K collage to take a look at the impact of prior training on collaboration in CSCL and interaction of types of collaborative scripts. To answer the first research question, the scores of each group's chatting in collaborative learning process and messages represented in the process of task performance based on collaborative skills were measured and analyzed. In addition, to answer the second research question, the scores of each group's shared mental model formulation based on relevant evaluation standards were analyzed. This study results, First, there was no significant difference in the acquisition of collaboration skills caused by interaction of prior training on collaboration and collaboration skills and collaborative scripts. However, it turned out that types of collaborative scripts give significant impacts on acquisition of collaboration skills. Second, there was also no significant difference between prior training on collaboration and the formulation of shared mental model by the interaction of collaborative scripts. However, it is showed that types of collaborative scripts have significant impacts on the formation of shared mental model.

• International Journal of High-Rise Buildings
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• v.4 no.1
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• pp.85-90
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• 2015

Advances in the technology of computational design are giving architects and engineers the opportunity to analyze buildings with complex geometries. This study explores the optimization and automation process using the parametric design method, and uses digital tools to achieve surface representation and panelization for curved shaped office buildings. In this paper, we propose parametric algorithms of dimensional and geometric constraints using the Knowledge-ware scripts embedded in Gehry Technologies' Digital Project. The knowledge-based design methods proposed in this study can be used to systemize the knowledge possessed by experts in the form of data. Such knowledge is required to promote collaboration between designers and engineers in the process of CAD/CAE/CAM. The aim of this study is to integrate the process into design, which establishes an integrated process. This integration enables two-way feedback between design and construction data by combining the methods used in designing, engineering, and construction.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.29-32
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• 2014

영화의 다양한 정보들을 측정하고 씨네메트릭스와 관련된 기존의 연구들은 스토리 차원의 정보들을 활용하지 못하는 문제가 있다. 본 논문에서는 스토리 차원의 씨네메트릭스 연구를 위해 영화의 설계도와 같은 스크립트에 대한 데이터 수집과 분석을 가능케 하는 협업적 스크립트 분석 플랫폼을 제안하고 개발한다. 이를 위해 자동으로 스크립트를 파싱하고 사용자들이 협업적으로 결과물의 오류를 수정하여 분석 데이터로 활용할 수 있는 소프트웨어를 개발하고 제공하고자 한다. 따라서 사용자에 의해 오류가 수정되고 걸러지게 하여 완성도 높은 영화 데이터 축적을 가능케 하는 협업적 스크립트 분석 플랫폼의 구조를 제시하고, 구현 결과에 대해 설명한다.

• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.135-144
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• 2002

Multimedia systems design generally requires a collaborative effort from a group of designers with a variety of backgrounds and tasks, such as content experts, instructional designers, media specialists, users, and so forth. The fact that the designers have totally different backgrounds and tasks may hinder their collaboration. This research develops a collaborative design tool for multimedia systems design, called the Designer's Cafe, with which multimedia designers can share their design knowledge on the Web freely. Designer's Cafe consists of three intelligent agents that are designed for supporting collaboration activities of multimedia designers. The intelligent agents are implemented by using JAVA SCRIPT and COLD FUSION. By using the tool, designers create, revise, and share their knowledge/ideas in very structured ways. The structured design process might enhance the collaboration activities of designers while designing a multimedia system within a virtual working space.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11B
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• pp.1624-1630
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• 2010

This paper proposes a method and its implementation for searching, converting, and delivering composite events and actions in the U-City Integrated Management Platform to process them efficiently through allocation and collaboration between the platform and u-services. The purpose of this method is to, when a composite event occurs, execute prompt and correct measures to reduce the damage caused by the event and prevent its spread. The proposed method also helps to simplify the complexity of corresponding business processes by modifying composite events and actions that are frequently added, delete, and revised, and delivering them to u-service systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.458-470
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• 2018

As the requirements of web apps become complex and rapidly changing, the maintenance of web apps becomes more important. However, web apps have a problem that more often than not there is not enough documentation to understand and maintain them. Thus, their effective maintenance requires models that represent their internal behavior occurring when they dynamically generate web pages. Previous works identify web components (such as JSPs and Servlets) as participants in the behavior but not web resources (such as images, CSS files, and JavaScript files). Moreover, they do not identify dependency relations between web components and web resources. This paper dynamically analyzes Java web apps to extract such dependency relations, which are included in our graph model for page generation. Case studies using open-source web apps show the applicability of the proposed approach.

• Journal of Korea Water Resources Association
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• v.53 no.3
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• pp.155-166
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• 2020

In this study, we applied the Radar-AWS Rainrates (RAR), weather radar-based quantitative precipitation estimations (QPEs), to the Yongdam study watershed in order to perform the flood runoff simulation and calculate the inflow of the dam during flood events using hydrologic model. Since the Yongdam study watershed is a representative area of the mountainous terrain in South Korea and has a relatively large number of monitoring stations (water level/flow) and data compared to other dam watershed, an accurate analysis of the time and space variability of radar rainfall in the mountainous dam watershed can be examined in the flood modeling. HEC-HMS, which is a relatively simple model for adopting spatially distributed rainfall, was applied to the hydrological simulations using HEC-GeoHMS and ModClark method with a total of eight independent flood events that occurred during the last five years (2014 to 2018). In addition, two NCL and Python script programs are developed to process the radar-based precipitation data for the use of hydrological modeling. The results demonstrate that the RAR QPEs shows rather underestimate trends in larger values for validation against gauged observations (R² 0.86), but is an adequate input to apply flood runoff simulation efficiently for a dam watershed, showing relatively good model performance (E_NS 0.86, R² 0.87, and PBIAS 7.49%) with less requirements for the calibration of transform and routing parameters than the spatially averaged model simulations in HEC-HMS.